most citedFCM Based Blood Vessel Segmentation Method for Retinal Images

62 citations · 168 across the 8 of their papers we have counts for

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8 papers

cs.CV201316 cited

Embedding of Blink Frequency in Electrooculography Signal using Difference Expansion based Reversible Watermarking Technique

Nilanjan Dey, Prasenjit Maji, Poulami Das +3

In the past few years, like other fields, rapid expansion of digitization and globalization has influenced the medical field as well. For progress of diagnostic results most of the…

cs.MM201314 cited

Medical Information Embedding in Compressed Watermarked Intravascular Ultrasound Video

Nilanjan Dey, Suvojit Acharjee, Debalina Biswas +2

In medical field, intravascular ultrasound (IVUS) is a tomographic imaging modality, which can identify the boundaries of different layers of blood vessels. IVUS can detect myocard…

cs.NE201224 cited

Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method

Sudarshan Nandy, Partha Pratim Sarkar, Achintya Das

Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms als…

cs.CV201217 cited

Wavelet Based Normal and Abnormal Heart Sound Identification using Spectrogram Analysis

Nilanjan Dey, Achintya Das, Sheli Sinha Chaudhuri

The present work proposes a computer-aided normal and abnormal heart sound identification based on Discrete Wavelet Transform (DWT), it being useful for tele-diagnosis of heart dis…

cs.CV201262 cited

FCM Based Blood Vessel Segmentation Method for Retinal Images

Nilanjan Dey, Anamitra Bardhan Roy, Moumita Pal +1

Segmentation of blood vessels in retinal images provides early diagnosis of diseases like glaucoma, diabetic retinopathy and macular degeneration. Among these diseases occurrence o…

cs.CV201233 cited

A Session Based Blind Watermarking Technique within the NROI of Retinal Fundus Images for Authentication Using DWT, Spread Spectrum and Harris Corner Detection

Nilanjan Dey, Moumita Pal, Achintya Das

Digital Retinal Fundus Images helps to detect various ophthalmic diseases by detecting morphological changes in optical cup, optical disc and macula. Present work proposes a method…